code: def __init__(self, nfeat, nclass, bias=True):
      super(LinearNeuralNetwork, self).__init__()
      self.W = nn.Linear(nfeat, nclass, bias=bias)
  
file_path: dgl/examples/pytorch/ogc/utils.py
imports: import dgl.sparse
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 1 to create a new LinearNeuralNetwork object from inherited base classes: nn with example: obj = LinearNeuralNetwork(nfeat, nclass, bias)